Dan Dwyer

1.8k total citations
76 papers, 1.3k citations indexed

About

Dan Dwyer is a scholar working on Orthopedics and Sports Medicine, Economics and Econometrics and Developmental and Educational Psychology. According to data from OpenAlex, Dan Dwyer has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Orthopedics and Sports Medicine, 26 papers in Economics and Econometrics and 16 papers in Developmental and Educational Psychology. Recurrent topics in Dan Dwyer's work include Sports Performance and Training (49 papers), Sports injuries and prevention (29 papers) and Sports Analytics and Performance (26 papers). Dan Dwyer is often cited by papers focused on Sports Performance and Training (49 papers), Sports injuries and prevention (29 papers) and Sports Analytics and Performance (26 papers). Dan Dwyer collaborates with scholars based in Australia, United States and United Kingdom. Dan Dwyer's co-authors include Tim J. Gabbett, Robert A. Robergs, Todd A. Astorino, Paul B. Gastin, Bahadorreza Ofoghi, Sam Robertson, John Zeleznikow, Clare MacMahon, Wei Luo and Christine Booth and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Dan Dwyer

69 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Dwyer Australia	20	823	334	239	214	212	76	1.3k
Daniel Rojas‐Valverde Costa Rica	22	969 1.2×	232 0.7×	248 1.0×	205 1.0×	272 1.3×	133	1.5k
João Gustavo Claudino Brazil	16	956 1.2×	230 0.7×	233 1.0×	136 0.6×	164 0.8×	46	1.4k
Júlio Cerca Serrão Brazil	16	1.0k 1.2×	246 0.7×	368 1.5×	141 0.7×	146 0.7×	88	1.5k
Mark Pfeiffer Germany	26	1.4k 1.7×	400 1.2×	384 1.6×	167 0.8×	338 1.6×	92	2.0k
Rocco Di Michele Italy	22	1.4k 1.7×	245 0.7×	443 1.9×	137 0.6×	301 1.4×	62	1.7k
W. Guy Hornsby United States	17	947 1.2×	337 1.0×	342 1.4×	303 1.4×	194 0.9×	54	1.6k
Heidi R. Thornton Australia	21	1.2k 1.5×	205 0.6×	273 1.1×	127 0.6×	298 1.4×	39	1.4k
David Archer United Kingdom	13	1.5k 1.9×	191 0.6×	288 1.2×	196 0.9×	506 2.4×	25	1.8k
Daniel J. Peart United Kingdom	14	784 1.0×	216 0.6×	158 0.7×	148 0.7×	243 1.1×	40	1.1k
Jordan L. Fox Australia	19	887 1.1×	197 0.6×	139 0.6×	159 0.7×	353 1.7×	58	1.2k

Countries citing papers authored by Dan Dwyer

Since Specialization

Citations

This map shows the geographic impact of Dan Dwyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Dwyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Dwyer more than expected).

Fields of papers citing papers by Dan Dwyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Dwyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Dwyer. The network helps show where Dan Dwyer may publish in the future.

Co-authorship network of co-authors of Dan Dwyer

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Dwyer. A scholar is included among the top collaborators of Dan Dwyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Dwyer. Dan Dwyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shelyag, Sergiy, et al.. (2025). Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football. SN Computer Science. 6(4).

Dwyer, Dan, et al.. (2025). Critical Power Is More Strongly Associated With Rowing Performance Than the Second Lactate Threshold. International Journal of Sports Physiology and Performance. 20(10). 1341–1348. 2 indexed citations

Treat, Robert, et al.. (2025). Performance of High-Quality Point-of-Care Ultrasound by Advanced Practice Providers in an Academic Emergency Department. Cureus. 17(4). e81564–e81564. 1 indexed citations

Dwyer, Dan, et al.. (2024). Shots at goal in Australian Football: Historical trends, determinants of accuracy and common strategies. Journal of science and medicine in sport. 27(5). 354–359. 1 indexed citations

Weldon, Anthony, et al.. (2024). Enthusiasm versus reality: A job analysis of Chinese sport scientists. International Journal of Sports Science & Coaching. 19(5). 1961–1971. 1 indexed citations

Shelyag, Sergiy, et al.. (2024). Predicting goal probabilities with improved xG models using event sequences in association football. PLoS ONE. 19(10). e0312278–e0312278. 3 indexed citations

Shelyag, Sergiy, et al.. (2024). Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation. IEEE Access. 12. 83363–83376. 2 indexed citations

Dwyer, Dan, et al.. (2024). Factors that affect handball execution in Australian Football. Journal of Sports Sciences. 42(1). 3–8. 1 indexed citations

Bruce, Lyndell, et al.. (2023). Understanding passing network characteristics and their link to match outcome in elite Netball. Journal of Sports Sciences. 41(16). 1538–1546. 3 indexed citations

10.

Dwyer, Dan, et al.. (2022). Team technical performance in elite men’s and women’s T20 cricket – determinants of performance within a match and across a season. International Journal of Performance Analysis in Sport. 22(2). 277–290. 3 indexed citations

11.

Dwyer, Dan, et al.. (2019). A novel method based on first principles to determine the accuracy and reliability of force measurements reported by bicycle power meters.. 8(1). 26–31. 3 indexed citations

12.

Dwyer, Dan, et al.. (2018). The influence of match characteristics and experience on decision-making performance in AFL umpires. Journal of science and medicine in sport. 22(1). 112–116. 9 indexed citations

13.

Luo, Wei, et al.. (2018). The relationship between match performance indicators and outcome in Australian Football. Journal of science and medicine in sport. 22(4). 467–471. 32 indexed citations

14.

Townsend, Nathan, et al.. (2015). Modeling intermittent cycling performance in hypoxia using the critical power concept. 4(2). 1 indexed citations

15.

Dwyer, Dan, et al.. (2015). Modeling Intermittent Cycling Performance in Hypoxia Using the Critical Power Concept. Medicine & Science in Sports & Exercise. 48(3). 527–535. 19 indexed citations

16.

Ofoghi, Bahadorreza, et al.. (2015). Performance analysis and prediction in triathlon. Journal of Sports Sciences. 34(7). 607–612. 48 indexed citations

17.

Dwyer, Dan. (2014). The effect of environmental conditions on performance in timed cycling events. 3(3). 17–22. 2 indexed citations

18.

Dwyer, Dan, et al.. (2013). The elimination race in track cycling: patterns and predictors of performance. Victoria University Research Repository (Victoria University). 2(2). 6–12. 7 indexed citations

19.

Robergs, Robert A., Dan Dwyer, & Todd A. Astorino. (2010). Recommendations for improved data processing from expired gas analysis indirect calorimetry. Deakin Research Online (Deakin University). 1 indexed citations

20.

Dwyer, Dan, et al.. (2002). Short Term Aerobic Exercise Training in Young Males Does Not Alter Sensitivity to a Central Serotonin Agonist. Experimental Physiology. 87(1). 83–89. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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